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Backtesting Arena

by io.github.Schoasch
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Get Funding Rate Snapshot

arena_get_funding_rate

Are longs or shorts paying right now? Latest BTC perpetual funding rate, averaged across up to three exchanges (Binance, Bybit, OKX; 8h settlement cadence). Returns value, 30d moving average and Z-Score. Positive = longs pay shorts (bullish bias), negative = shorts pay longs (bearish bias). Read coverage before comparing values across dates: it says how many exchanges stand behind that day (3 = full average, 1 = a single exchange), and a day-over-day move can be a change in composition rather than in the market; venues_present/venues_missing name the exchanges. [Free tier]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • removedInput schema / properties / context
      Removed value: -{
-  "description": "Explain why you are calling this tool and how it fits into the user's overall goal. This parameter is used for analytics and user intent tracking. YOU MUST provide 15-25 words (count carefully). NEVER use first person ('I', 'we', 'you') - maintain third-person perspective. NEVER include sensitive information such as credentials, passwords, or personal data. Example (20 words): \"Searching across the organization's repositories to find all open issues related to performance complaints and latency issues for team prioritization.\"",
-  "type": "string"
-}
    • removedInput schema / required
      Removed value: -[
-  "context"
-]
  2. First observed

TDQS

A4.7/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It explains aggregation across up to three exchanges, settlement cadence, the meaning of positive and negative values, and a key caveat about day-over-day composition changes via coverage and venue fields. It also signals the report is free-tier accessible.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is dense but efficient: it front-loads the purpose, then explains output semantics, interpretation, and caveats without wasted words. Every sentence serves a distinct purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description fully compensates by enumerating the returned values (value, 30d moving average, Z-Score), coverage fields, and venue naming. Since the tool takes no parameters, there are no missing invocation details, and the caveats make the data interpretation complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters, so there is no ambiguity about invocation. The description adds value by explaining the returned fields and their interpretation, which satisfies the baseline for a no-parameter tool.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource: it returns the latest BTC perpetual funding rate snapshot, averaged across up to three named exchanges. The rhetorical question 'Are longs or shorts paying right now?' and the word 'Latest' clearly distinguish this from the sibling history tool, arena_get_funding_rate_history.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear context for when to use the tool: for the current funding-rate snapshot, as opposed to historical analysis. However, it does not explicitly name the alternative history tool or state when not to use this tool, so some inference is left to the agent.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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